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import os.path
import time as reqtime
import datetime
from pytz import timezone
import gradio as gr
import random
import tqdm
from midi_to_colab_audio import midi_to_colab_audio
import TMIDIX
import matplotlib.pyplot as plt
in_space = os.getenv("SYSTEM") == "spaces"
# =================================================================================================
def GenerateAccompaniment(input_midi, input_num_tokens, input_conditioning_type, input_strip_notes):
print('=' * 70)
print('Req start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT)))
start_time = reqtime.time()
print('=' * 70)
fn = os.path.basename(input_midi.name)
fn1 = fn.split('.')[0]
input_num_tokens = max(4, min(128, input_num_tokens))
print('-' * 70)
print('Input file name:', fn)
print('Req num toks:', input_num_tokens)
print('Conditioning type:', input_conditioning_type)
print('Strip notes:', input_strip_notes)
print('-' * 70)
#===============================================================================
raw_score = TMIDIX.midi2single_track_ms_score(input_midi.name)
#===============================================================================
# Enhanced score notes
escore_notes = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]
if len(escore_notes) > 0:
#=======================================================
# PRE-PROCESSING
#===============================================================================
# Augmented enhanced score notes
escore_notes = TMIDIX.augment_enhanced_score_notes(escore_notes)
#===============================================================================
# Recalculate timings
escore_notes = TMIDIX.recalculate_score_timings(escore_notes)
#===============================================================================
# Add melody
output = TMIDIX.add_melody_to_enhanced_score_notes(escore_notes, melody_channel=15, melody_start_chord=15)
print('=' * 70)
print('Done!')
print('=' * 70)
#===============================================================================
print('Rendering results...')
print('=' * 70)
print('Sample INTs', output[:12])
print('=' * 70)
output_score, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(output)
fn1 = "Chords-Progressions-Transformer-Composition"
detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score,
output_signature = 'MIDI Melody',
output_file_name = fn1,
track_name='Project Los Angeles',
list_of_MIDI_patches=patches,
timings_multiplier=16
)
new_fn = fn1+'.mid'
audio = midi_to_colab_audio(new_fn,
soundfont_path=soundfont,
sample_rate=16000,
volume_scale=10,
output_for_gradio=True
)
print('Done!')
print('=' * 70)
#========================================================
output_midi_title = str(fn1)
output_midi_summary = str(song_f[:3])
output_midi = str(new_fn)
output_audio = (16000, audio)
output_plot = TMIDIX.plot_ms_SONG(song_f, plot_title=output_midi, return_plt=True)
print('Output MIDI file name:', output_midi)
print('Output MIDI title:', output_midi_title)
print('Output MIDI summary:', '')
print('=' * 70)
#========================================================
print('-' * 70)
print('Req end time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT)))
print('-' * 70)
print('Req execution time:', (reqtime.time() - start_time), 'sec')
return output_midi_title, output_midi_summary, output_midi, output_audio, output_plot
# =================================================================================================
if __name__ == "__main__":
PDT = timezone('US/Pacific')
print('=' * 70)
print('App start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT)))
print('=' * 70)
soundfont = "SGM-v2.01-YamahaGrand-Guit-Bass-v2.7.sf2"
app = gr.Blocks()
with app:
gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>MIDI Melody</h1>")
gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Add a unique melody to any MIDI</h1>")
gr.Markdown(
"\n\n"
"This is a demo for TMIDIX Python module from tegridy-tools\n\n"
"Check out [tegridy-tools](https://github.com/asigalov61/tegridy-tools) on GitHub!\n\n"
)
gr.Markdown("## Upload your MIDI or select a sample example MIDI")
input_midi = gr.File(label="Input MIDI", file_types=[".midi", ".mid", ".kar"])
input_num_tokens = gr.Slider(4, 128, value=32, step=1, label="Number of composition chords to generate progression for")
input_conditioning_type = gr.Radio(["Chords", "Chords-Times", "Chords-Times-Durations"], label="Conditioning type")
input_strip_notes = gr.Checkbox(label="Strip notes from the composition")
run_btn = gr.Button("generate", variant="primary")
gr.Markdown("## Generation results")
output_midi_title = gr.Textbox(label="Output MIDI title")
output_midi_summary = gr.Textbox(label="Output MIDI summary")
output_audio = gr.Audio(label="Output MIDI audio", format="wav", elem_id="midi_audio")
output_plot = gr.Plot(label="Output MIDI score plot")
output_midi = gr.File(label="Output MIDI file", file_types=[".mid"])
run_event = run_btn.click(GenerateAccompaniment, [input_midi, input_num_tokens, input_conditioning_type, input_strip_notes],
[output_midi_title, output_midi_summary, output_midi, output_audio, output_plot])
gr.Examples(
[["Chords-Progressions-Transformer-Piano-Seed-1.mid", 128, "Chords", False],
["Chords-Progressions-Transformer-Piano-Seed-2.mid", 128, "Chords-Times", False],
["Chords-Progressions-Transformer-Piano-Seed-3.mid", 128, "Chords-Times-Durations", False],
["Chords-Progressions-Transformer-Piano-Seed-4.mid", 128, "Chords", False],
["Chords-Progressions-Transformer-Piano-Seed-5.mid", 128, "Chords-Times", False],
["Chords-Progressions-Transformer-Piano-Seed-6.mid", 128, "Chords-Times-Durations", False],
["Chords-Progressions-Transformer-MI-Seed-1.mid", 128, "Chords", False],
["Chords-Progressions-Transformer-MI-Seed-2.mid", 128, "Chords-Times", False],
["Chords-Progressions-Transformer-MI-Seed-3.mid", 128, "Chords-Times-Durations", False],
["Chords-Progressions-Transformer-MI-Seed-4.mid", 128, "Chords-Times", False],
["Chords-Progressions-Transformer-MI-Seed-5.mid", 128, "Chords", False],
["Chords-Progressions-Transformer-MI-Seed-6.mid", 128, "Chords-Times-Durations", False]
],
[input_midi, input_num_tokens, input_conditioning_type, input_strip_notes],
[output_midi_title, output_midi_summary, output_midi, output_audio, output_plot],
GenerateAccompaniment,
cache_examples=True,
)
app.queue().launch() |